Package: GGRidge 1.1.0
Saeed Aldahmani
GGRidge: Graphical Group Ridge
The Graphical Group Ridge 'GGRidge' package package classifies ridge regression predictors in disjoint groups of conditionally correlated variables and derives different penalties (shrinkage parameters) for these groups of predictors. It combines the ridge regression method with the graphical model for high-dimensional data (i.e. the number of predictors exceeds the number of cases) or ill-conditioned data (e.g. in the presence of multicollinearity among predictors). The package reduces the mean square errors and the extent of over-shrinking of predictors as compared to the ridge method.Aldahmani, S. and Zoubeidi, T. (2020) <doi:10.1080/00949655.2020.1803320>.
Authors:
GGRidge_1.1.0.tar.gz
GGRidge_1.1.0.tar.gz(r-4.5-noble)GGRidge_1.1.0.tar.gz(r-4.4-noble)
GGRidge_1.1.0.tgz(r-4.4-emscripten)GGRidge_1.1.0.tgz(r-4.3-emscripten)
GGRidge.pdf |GGRidge.html✨
GGRidge/json (API)
# Install 'GGRidge' in R: |
install.packages('GGRidge', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- SampleEyeData - SampleEyeData
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:7f9393e06c. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 29 2024 |
R-4.5-linux | OK | Nov 29 2024 |
Exports:GGRidge
Dependencies:clicodetoolscolorspacecpp11CVglassodoParalleldplyrfansifarverforeachgenericsggplot2glassogluegRbasegtableigraphisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppEigenrlangscalestibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
GGRidge: Graphical Group Ridge | GGRidge-package |
GGRidge: Graphical group ridge | GGRidge |
SampleEyeData | SampleEyeData |